Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T189E2A3F4131455AD26C2EBE896A23D667262D0FBE21B5888D2F85A4C5EC1FF8CCC17D1 |
|
CONTENT
ssdeep
|
384:nxEcIhv4sTufRzufqMvJMQeh1j4FL+zN+0WF7u3QXES728b8s6Xk1SqoCj:xov4DZzuSuJ1ePj70Eam7k1SVCj |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3d8403b17a6c6cd |
|
VISUAL
aHash
|
efcffe878e830704 |
|
VISUAL
dHash
|
893be44c5a0f4ecc |
|
VISUAL
wHash
|
ffcffe8780870300 |
|
VISUAL
colorHash
|
06602008000 |
|
VISUAL
cropResistant
|
893be44c5a0f4ecc,4796be7846555186,e4063bc425dd26f0,4a9a7e6a3e3b9b8e,434e0c1b3b313960,52525298d8525052,222335311397990b,5612306213531311 |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 51320 techniques to evade detection by security scanners and make reverse engineering more difficult.